Stochastic Multi-objective Bi-level Optimization Model for Operation of Active Distribution System with Demand Response

Tanuj Rawat; Jyotsna Singh; Sachin Sharma; K. R. Niazi

doi:10.1109/NPSC57038.2022.10068875

Stochastic Multi-objective Bi-level Optimization Model for Operation of Active Distribution System with Demand Response

Tanuj Rawat^*
, Jyotsna Singh
, Sachin Sharma
, K. R. Niazi

^*Corresponding author for this work

School of Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

Abstract

In this work, a multi-objective (MO) bi-level (BL) model for interaction between distribution system operator (DSO) and demand response (DR) aggregators is developed. In the upper level, the objectives of DSO are to jointly optimize its profit and energy not supplied (ENS) while maximizing profit is the objective at lower level from DR aggregator's perspective. The upper level MO problem is transformed into a single objective optimization using $\epsilon$-constraint method. And, the BL problem is converted into a single level structure using Karush-Kuhn-Tucker (KKT) conditions and strong duality theorem. In addition, stochastic AC power flow is applied to address uncertain natures of grid electricity prices, inflexible load demand and power from wind and solar respectively. Numerical results on a modified 33-bus distribution system demonstrate the effectiveness of the proposed bi-level approach.

Original language	English
Title of host publication	2022 22nd National Power Systems Conference, NPSC 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	12-17
Number of pages	6
ISBN (Electronic)	9781665462020
DOIs	https://doi.org/10.1109/NPSC57038.2022.10068875
Publication status	Published - 2022
Event	22nd National Power Systems Conference, NPSC 2022 - New Delhi, India Duration: 17-12-2022 → 19-12-2022

Publication series

Name	2022 22nd National Power Systems Conference, NPSC 2022

Conference

Conference	22nd National Power Systems Conference, NPSC 2022
Country/Territory	India
City	New Delhi
Period	17-12-22 → 19-12-22

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Energy Engineering and Power Technology
Renewable Energy, Sustainability and the Environment
Electrical and Electronic Engineering
Control and Optimization

Access to Document

10.1109/NPSC57038.2022.10068875

Cite this

Rawat, T., Singh, J., Sharma, S., & Niazi, K. R. (2022). Stochastic Multi-objective Bi-level Optimization Model for Operation of Active Distribution System with Demand Response. In 2022 22nd National Power Systems Conference, NPSC 2022 (pp. 12-17). (2022 22nd National Power Systems Conference, NPSC 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/NPSC57038.2022.10068875

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title = "Stochastic Multi-objective Bi-level Optimization Model for Operation of Active Distribution System with Demand Response",

abstract = "In this work, a multi-objective (MO) bi-level (BL) model for interaction between distribution system operator (DSO) and demand response (DR) aggregators is developed. In the upper level, the objectives of DSO are to jointly optimize its profit and energy not supplied (ENS) while maximizing profit is the objective at lower level from DR aggregator's perspective. The upper level MO problem is transformed into a single objective optimization using \$\textbackslash{}epsilon\$-constraint method. And, the BL problem is converted into a single level structure using Karush-Kuhn-Tucker (KKT) conditions and strong duality theorem. In addition, stochastic AC power flow is applied to address uncertain natures of grid electricity prices, inflexible load demand and power from wind and solar respectively. Numerical results on a modified 33-bus distribution system demonstrate the effectiveness of the proposed bi-level approach.",

author = "Tanuj Rawat and Jyotsna Singh and Sachin Sharma and Niazi, \{K. R.\}",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 22nd National Power Systems Conference, NPSC 2022 ; Conference date: 17-12-2022 Through 19-12-2022",

year = "2022",

doi = "10.1109/NPSC57038.2022.10068875",

language = "English",

series = "2022 22nd National Power Systems Conference, NPSC 2022",

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Rawat, T, Singh, J, Sharma, S & Niazi, KR 2022, Stochastic Multi-objective Bi-level Optimization Model for Operation of Active Distribution System with Demand Response. in 2022 22nd National Power Systems Conference, NPSC 2022. 2022 22nd National Power Systems Conference, NPSC 2022, Institute of Electrical and Electronics Engineers Inc., pp. 12-17, 22nd National Power Systems Conference, NPSC 2022, New Delhi, India, 17-12-22. https://doi.org/10.1109/NPSC57038.2022.10068875

Stochastic Multi-objective Bi-level Optimization Model for Operation of Active Distribution System with Demand Response. / Rawat, Tanuj; Singh, Jyotsna; Sharma, Sachin et al.
2022 22nd National Power Systems Conference, NPSC 2022. Institute of Electrical and Electronics Engineers Inc., 2022. p. 12-17 (2022 22nd National Power Systems Conference, NPSC 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Stochastic Multi-objective Bi-level Optimization Model for Operation of Active Distribution System with Demand Response

AU - Rawat, Tanuj

AU - Singh, Jyotsna

AU - Sharma, Sachin

AU - Niazi, K. R.

PY - 2022

Y1 - 2022

N2 - In this work, a multi-objective (MO) bi-level (BL) model for interaction between distribution system operator (DSO) and demand response (DR) aggregators is developed. In the upper level, the objectives of DSO are to jointly optimize its profit and energy not supplied (ENS) while maximizing profit is the objective at lower level from DR aggregator's perspective. The upper level MO problem is transformed into a single objective optimization using $\epsilon$-constraint method. And, the BL problem is converted into a single level structure using Karush-Kuhn-Tucker (KKT) conditions and strong duality theorem. In addition, stochastic AC power flow is applied to address uncertain natures of grid electricity prices, inflexible load demand and power from wind and solar respectively. Numerical results on a modified 33-bus distribution system demonstrate the effectiveness of the proposed bi-level approach.

AB - In this work, a multi-objective (MO) bi-level (BL) model for interaction between distribution system operator (DSO) and demand response (DR) aggregators is developed. In the upper level, the objectives of DSO are to jointly optimize its profit and energy not supplied (ENS) while maximizing profit is the objective at lower level from DR aggregator's perspective. The upper level MO problem is transformed into a single objective optimization using $\epsilon$-constraint method. And, the BL problem is converted into a single level structure using Karush-Kuhn-Tucker (KKT) conditions and strong duality theorem. In addition, stochastic AC power flow is applied to address uncertain natures of grid electricity prices, inflexible load demand and power from wind and solar respectively. Numerical results on a modified 33-bus distribution system demonstrate the effectiveness of the proposed bi-level approach.

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M3 - Conference contribution

AN - SCOPUS:85152084408

T3 - 2022 22nd National Power Systems Conference, NPSC 2022

SP - 12

EP - 17

BT - 2022 22nd National Power Systems Conference, NPSC 2022

PB - Institute of Electrical and Electronics Engineers Inc.

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Rawat T, Singh J, Sharma S, Niazi KR. Stochastic Multi-objective Bi-level Optimization Model for Operation of Active Distribution System with Demand Response. In 2022 22nd National Power Systems Conference, NPSC 2022. Institute of Electrical and Electronics Engineers Inc. 2022. p. 12-17. (2022 22nd National Power Systems Conference, NPSC 2022). doi: 10.1109/NPSC57038.2022.10068875

Stochastic Multi-objective Bi-level Optimization Model for Operation of Active Distribution System with Demand Response

Abstract

Publication series

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UN SDGs

All Science Journal Classification (ASJC) codes

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